Introduction to Big Data Training Video

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Kurs

Online

Wann:Freie Auswahl

Beschreibung

A Practical Training Course That Teaches Real World Skills In this project-based Introduction to Big Data video tutorial series, you'll quickly have relevant skills for real-world applications. Follow along with our expert instructor in this training course to get: Concise, informative and broadcast-quality Introduction to Big Data training videos delivered to your desktop The ability to learn at your own pace with our intuitive, easy-to-use interface A quick grasp of even the most complex Introduction to Big Data subjects because they're broken into simple, easy to follow tutorial videos Practical working files further enhance the learning process and provide a degree of retention that is unmatched by any other form of Introduction to Big Data tutorial, online or offline...so you'll know the exact steps for your own projects. Course Fast Facts: Only 3 hours to complete this course 46 tutorial videos Expert instructors lead each course Download to any Windows PC or Mac and save for viewing off line Course is accessible 24/7 from any computer once downloaded You can study from home or at work at your own pace in your own time Course Description In this Introduction to Big Data training course, expert author Vladimir Bacvanski teaches you about Big Data, Hadoop, NoSQL, and related technologies. This course is designed for beginners, meaning no programming experience is required.

You will start by learning what Big Data is and how to process it with MapReduce and Hadoop. From there, Vladimir will teach you several ways to program Big Data applications, as well as introduce you to the Hadoop ecosystem. This video tutorial also covers NoSQL stores and their best uses. Finally, you will learn about Big Data and NoSQL in the enterprise.

Once you have completed this computer based training course, you will have developed a solid understanding of Big Data and NoSQL technologies.

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Voraussetzungen: System Requirements - Digital Download Digital Download: Microsoft Windows XP or higher, Mac OS X 10.4 or higher. Minimum screen resolution of 1024x768 Digital Download specific requirements: Between 1GB and 6GB of available hard drive space (depending on the training course) An Internet connection with sufficient bandwidth. You must have at least a 56K modem connection (Broadband recommended). Most modern ADSL and Cable internet solutions will be sufficient. Do I need...

Veranstaltungsort(e)

Wo und wann

Beginn

Lage

Freie Auswahl

Online

Was lernen Sie in diesem Kurs?

Programming

Skills and Training

Themenkreis

01. Introduction To Big Data

Introduction To The Course

About The Author

Big Data Challenges

Big Data Characteristics

Problems In Capitalizing On Big Data

Solving Big Data Problems

The Challenges Of Relational Databases

02. MapReduce And Hadoop

0201 MapReduce And Hadoop

0202 MapReduce Algorithm

0203 Introducing Hadoop

03. Hadoop Distributed File System

0301 Hadoop Distributed File System

0302 Interacting With HDFS

04. Hadoop Infrastructure

0401 Hadoop Infrastructure

0402 YARN

05. Programming Hadoop

0501 Programming Hadoop

06. Hive

0601 Hive

0602 Hive Architecture

0603 Hive Data Model

0604 Hive Queries

0605 When To Use Hive

07. Pig

0701 Pig

0702 Pig Data Model

0703 Pig Latin

0704 Pig Example

0705 When To Use Pig

08. Scalding

0801 Scalding

0802 Programming With Scalding

0803 When To Use Scalding

09. Hadoop Ecosystem

0901 Hadoop Ecosystem

0902 HBase

0903 When To Use HBase

0904 Beyond Classic Hadoop - Spark And Flink

10. NoSQL

1001 NoSQL Stores

1002 Key-Value Stores

1003 Columnar Stores

1004 Document Stores

1005 Graph Stores

1006 Data Modeling For NoSQL Stores

11. Streaming

1101 Streaming

1102 Storm

1103 Spark And Flink Streaming

1104 Lambda Architecture

12. Big Data And NoSQL In The Enterprise

1201 Introducing Big Data And NoSQL In The Enterprise

1202 Polyglot Persistence

1203 Seven Habits Of Successful Big Data And NoSQL Projects

13. Wrap Up

1301 Wrap-Up

Zusätzliche Informationen

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